The CLEF-2024 CheckThat! Lab: Check-worthiness, subjectivity, persuasion, roles, authorities, and adversarial robustness

A Barrón-Cedeño, F Alam, T Chakraborty… - … on Information Retrieval, 2024 - Springer
The first five editions of the CheckThat! lab focused on the main tasks of the information
verification pipeline: check-worthiness, evidence retrieval and pairing, and verification …

Detecting and understanding harmful memes: A survey

S Sharma, F Alam, MS Akhtar, D Dimitrov… - arxiv preprint arxiv …, 2022 - arxiv.org
The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …

Zero shot VLMs for hate meme detection: Are we there yet?

N Rizwan, P Bhaskar, M Das, SS Majhi, P Saha… - arxiv preprint arxiv …, 2024 - arxiv.org
Multimedia content on social media is rapidly evolving, with memes gaining prominence as
a distinctive form. Unfortunately, some malicious users exploit memes to target individuals or …

A review of multimodal-based emotion recognition techniques for cyberbullying detection in online social media platforms

S Wang, AS Shibghatullah, TJ Iqbal… - Neural Computing and …, 2024 - Springer
Cyberbullying is a serious issue in online social media platforms (OSMP), which requires
effective detection and intervention systems. Multimodal emotion recognition (MER) …

A duo-generative approach to explainable multimodal covid-19 misinformation detection

L Shang, Z Kou, Y Zhang, D Wang - … of the ACM Web Conference 2022, 2022 - dl.acm.org
This paper focuses on a critical problem of explainable multimodal COVID-19
misinformation detection where the goal is to accurately detect misleading information in …

A multimodal framework to detect target aware aggression in memes

S Ahsan, E Hossain, O Sharif, A Das… - Proceedings of the …, 2024 - aclanthology.org
Internet memes have gained immense traction as a medium for individuals to convey
emotions, thoughts, and perspectives on social media. While memes often serve as sources …

A multi-modal dataset for hate speech detection on social media: Case-study of russia-ukraine conflict

S Thapa, A Shah, FA Jafri… - CASE 2022-5th …, 2022 - researchonline.jcu.edu.au
Hate speech consists of types of content (eg text, audio, image) that express derogatory
sentiments and hate against certain people or groups of individuals. The internet …

What do you meme? generating explanations for visual semantic role labelling in memes

S Sharma, S Agarwal, T Suresh, P Nakov… - Proceedings of the …, 2023 - ojs.aaai.org
Memes are powerful means for effective communication on social media. Their effortless
amalgamation of viral visuals and compelling messages can have far-reaching implications …

DISARM: Detecting the victims targeted by harmful memes

S Sharma, MS Akhtar, P Nakov… - arxiv preprint arxiv …, 2022 - arxiv.org
Internet memes have emerged as an increasingly popular means of communication on the
Web. Although typically intended to elicit humour, they have been increasingly used to …

A deep learning-based framework for offensive text detection in unstructured data for heterogeneous social media

J Bacha, F Ullah, J Khan, AW Sardar, S Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Social media such as Facebook, Instagram, and Twitter are powerful and essential platforms
where people express and share their ideas, knowledge, talents, and abilities with others …